Are false positives in suicide classification models a risk group? Evidence for “true alarms” in a population-representative longitudinal study of Norwegian adolescents

IntroductionFalse positives in retrospective binary suicide attempt classification models are commonly attributed to sheer classification error. However, when machine learning suicide attempt classification models are trained with a multitude of psycho-socio-environmental factors and achieve high ac...

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Bibliographic Details
Main Authors: E. F. Haghish, Bruno Laeng, Nikolai Czajkowski
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Psychology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2023.1216483/full